EP 3452953 A4 20191225 - USING DIGITAL IMAGES OF A FIRST TYPE AND A FEATURE SET DICTIONARY TO GENERATE DIGITAL IMAGES OF A SECOND TYPE
Title (en)
USING DIGITAL IMAGES OF A FIRST TYPE AND A FEATURE SET DICTIONARY TO GENERATE DIGITAL IMAGES OF A SECOND TYPE
Title (de)
VERWENDUNG VON DIGITALEN BILDERN EINES ERSTEN TYPS UND MERKMALSATZWÖRTERBUCH ZUR ERZEUGUNG DIGITALER BILDER EINES ZWEITEN TYPS
Title (fr)
UTILISATION D'IMAGES NUMÉRIQUES D'UN PREMIER TYPE ET D'UN DICTIONNAIRE D'ENSEMBLES DE CARACTÉRISTIQUES EN VUE DE GÉNÉRER DES IMAGES NUMÉRIQUES D'UN DEUXIÈME TYPE
Publication
Application
Priority
- US 201662332410 P 20160505
- US 201615357961 A 20161121
- US 2017030362 W 20170501
Abstract (en)
[origin: WO2017192431A1] Systems and methods for generation of images of a particular type from images of a different type are disclosed. In an embodiment, an agricultural intelligence computer system receives a first plurality of images of a first type and a second plurality of images of a second type. The first and second types may refer to variances in resolution, frequency ranges of frequency bands, and/or types of frequency bands used to generate the images. Based on the first plurality of images and the second plurality of images, the agricultural intelligence computer system generates a feature set dictionary comprising mappings from features of the first plurality of images to features of the second plurality of images. When the agricultural intelligence computer system receives a particular image of the first type, the agricultural intelligence computer system uses the received image and the feature set dictionary to generate an image of the second type.
IPC 8 full level
CPC (source: EP US)
A01G 2/00 (2018.02 - US); A01G 7/00 (2013.01 - EP US); G06T 3/4007 (2013.01 - US); G06T 3/4061 (2013.01 - EP US); G06T 5/00 (2013.01 - US); G06T 5/50 (2013.01 - US); G06T 11/60 (2013.01 - US); G06T 2207/10032 (2013.01 - US); G06T 2207/20221 (2013.01 - US); G06T 2207/30188 (2013.01 - US)
Citation (search report)
- [XAI] SONG HUIHUI ET AL: "Improving the Spatial Resolution of Landsat TM/ETM+ Through Fusion With SPOT5 Images via Learning-Based Super-Resolution", IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, IEEE SERVICE CENTER, PISCATAWAY, NJ, US, vol. 53, no. 3, 1 March 2015 (2015-03-01), pages 1195 - 1204, XP011559190, ISSN: 0196-2892, [retrieved on 20140916], DOI: 10.1109/TGRS.2014.2335818
- [XA] HAOHENG ZHENG: "Learning-based super-resolution with applications to intensity and depth images", PHD THESIS, 1 January 2014 (2014-01-01), pages 1 - 181, XP055638614, Retrieved from the Internet <URL:http://ro.uow.edu.au/cgi/viewcontent.cgi?article=5291&context=theses> [retrieved on 20191104]
- See also references of WO 2017192431A1
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
DOCDB simple family (publication)
WO 2017192431 A1 20171109; BR 112018072703 A2 20190219; BR 112018072703 A8 20230404; CA 3022291 A1 20171109; EP 3452953 A1 20190313; EP 3452953 A4 20191225; EP 3452953 B1 20230412; US 10043239 B2 20180807; US 2017323426 A1 20171109
DOCDB simple family (application)
US 2017030362 W 20170501; BR 112018072703 A 20170501; CA 3022291 A 20170501; EP 17793062 A 20170501; US 201615357961 A 20161121